activity
20192024
most citedRoad Crack Detection Using Deep Convolutional Neural Network and Adaptive Thresholding

17 citations · 31 across the 13 of their papers we have counts for

collaborators

14 papers

cs.RO2024

Efficient Camera Exposure Control for Visual Odometry via Deep Reinforcement Learning

Shuyang Zhang, Jinhao He, Yilong Zhu +2

The stability of visual odometry (VO) systems is undermined by degraded image quality, especially in environments with significant illumination changes. This study employs a deep r…

cs.RO2024

FusionPortableV2: A Unified Multi-Sensor Dataset for Generalized SLAM Across Diverse Platforms and Scalable Environments

Hexiang Wei, Jianhao Jiao, Xiangcheng Hu +7

Simultaneous Localization and Mapping (SLAM) technology has been widely applied in various robotic scenarios, from rescue operations to autonomous driving. However, the generalizat…

cs.CV2021★ 1 cited

Comparing Representations in Tracking for Event Camera-based SLAM

Jianhao Jiao, Huaiyang Huang, Liang Li +3

This paper investigates two typical image-type representations for event camera-based tracking: time surface (TS) and event map (EM). Based on the original TS-based tracker, we mak…

cs.RO2021★ 2 cited

Greedy-Based Feature Selection for Efficient LiDAR SLAM

Jianhao Jiao, Yilong Zhu, Haoyang Ye +5

Modern LiDAR-SLAM (L-SLAM) systems have shown excellent results in large-scale, real-world scenarios. However, they commonly have a high latency due to the expensive data associati…

cs.RO2020

The Role of the Hercules Autonomous Vehicle During the COVID-19 Pandemic: An Autonomous Logistic Vehicle for Contactless Goods Transportation

Tianyu Liu, Qinghai Liao, Lu Gan +28

Since early 2020, the coronavirus disease 2019 (COVID-19) has spread rapidly across the world. As at the date of writing this article, the disease has been globally reported in 223…

cs.RO2019

Road Curb Detection Using A Novel Tensor Voting Algorithm

Yilong Zhu, Dong Han, Bohuan Xue +4

Road curb detection is very important and necessary for autonomous driving because it can improve the safety and robustness of robot navigation in the outdoor environment. In this…